How many people come to your store every day and how many just pass by? How often do customers visit your store? And how many of them come back again and again?
What is the mood your customers are in? How emotional is their reaction to the product, service, design of the branch or campaign?
Do you know how many men and women purchase at your store, including their age group? And do you also follow other interesting data?
Do you know when an important customer of yours enters your store? Do you know how to personalize your offer or service based on the data you had on them before?
Do you analyze the number of visits and follow the relevant data to target your marketing campaigns and choose the right POS components?
Do you measure and evaluate which of the products on display your customer is interested in and how much time they spend with each of them?
Through CCTV cameras in your store and artificial intelligence, eMotion Counter keeps on analyzing the number of visits, collecting various data for further use.
This customer is visiting your store for the second time today, and according to their behavior, they will soon be ready to purchase at your store.
Thanks to the ability of recognizing emotions and measuring the intensity of interest, you will evaluate better which of your products you can sell successfully.
So, in this period, you will adapt to those who actually visit your stores.
Today you had 456 people in your store, out of who 412 were unique visitors and entered your store just once. The statistics don´t include the employees themselves as eMotion Counter has filtered them out.
Address Eva with an advertising message tailored to her needs, inviting her again to your store.
Offer her just what she is interested in and also help Eva with the purchase of the product itself.
Include Eva in your own lists and observe the behavior of your target groups. Get inspired and keep on improving.
And don´t forget to offer some coffee to Eva, since she is your VIP customer.
Your customer. She is visiting your store for the second time today, she is in a good mood, and she browses the same products again. The right time to send to her the staff ready to help her, don´t you think?
Start using the most up-to-date technologies in your business. eMotion Counter makes use of artificial intelligence by Microsoft, recognizing faces based on the use of regular camera systems.
Every time smarter and better! Thanks to the continual transactions, the sophisticated system keeps on learning and improving its output to predict better both the structure and behavior of your customers, providing data for practical use.
eMotion Counter is based on a stable service which is immediately available from anywhere, enabling to use the pay-as-you-go system.
Thanks to the information you obtain, you will manage to communicate in a more targeted and suitable way, evaluating the newly gained output for further improvement.
The data you obtain will enable to fulfill your customers´wishes better, adapting yourself to their needs. You will be rewarded with their loyalty.
You will transform the statistics on the number of visits into processes, thanks to which the image of your store will improve.
The analytic data on the customers´ emotions of your store will help you to optimize its form and equipment.
How the live tracking looks? We installed the eMotion Counter in our Prague office to show you possible outputs from the system.
eMotion Counter receives picture data using the RTSP protocol. This protocol is the industrial standard for the cameras used for security purposes. If you own an IP camera connected to a data network, you don´t need to install anything more in the store.
The camera pictures are processed in Microsoft Azure using Microsoft Cognitive Services. There the faces are analyzed using the methods of machine learning. These are developed in time to obtain more precise results.
eMotion Counter is based on a SQL Server database where data from all the cameras in all stores is saved. Using analytical tools, you can obtain valuable information on customers´ behavior. Much of the output has already been prepared for the Power BI Desktop.